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» A machine learning approach for improved BM25 retrieval
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KDD
2005
ACM
125views Data Mining» more  KDD 2005»
14 years 9 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
ALT
2006
Springer
14 years 6 months ago
Smooth Boosting Using an Information-Based Criterion
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
Kohei Hatano
CIKM
2003
Springer
14 years 2 months ago
Lessons from the implementation of an adaptive parts acquisition ePortal
In recent work we have developed a novel approach to the design and implementation of an online portal (ePortal) to help application engineers find replacements for electronic par...
Rafael Alonso, Jeffrey A. Bloom, Hua Li
ADL
2000
Springer
276views Digital Library» more  ADL 2000»
14 years 1 months ago
Invading the Fortress: How to Besiege Reinforced Information Bunkers
Information retrieval (IR) research has been very active over the last decades to develop approaches that allow machine indexing to significantly improve indexing practice in lib...
Jeroen Hoppenbrouwers, Hans Paijmans
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
13 years 7 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell